Change deployment from Streamlit to Hugging Face Spaces- Update README.md with Hugging Face Spaces deployment instructions- Add requirements.txt for Hugging Face Spaces- Minor adjustments to app.py for compatibility

README.md

@@ -9,4 +9,39 @@ app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Data Fetcher AI Agent
+
+This Streamlit app simulates fetching Sentinel-2 satellite imagery data and storing it in a PostgreSQL database. It's designed to demonstrate the process of data collection and storage for further analysis using tools like MindsDB for anomaly detection.
+
+## Features
+
+- Input your OpenAI API key securely
+- Input geographical coordinates (latitude and longitude)
+- Specify date range for data collection
+- Simulate data storage in PostgreSQL
+- Prepare data for analysis with MindsDB
+
+## How to Use
+
+1. Enter your OpenAI API key in the sidebar (this is required to run the app)
+2. Enter your Earth Engine Project ID (or use the default)
+3. Input the latitude and longitude of your area of interest
+4. Select the start and end dates for your data collection period
+5. Provide a name for your image
+6. Click "Fetch Sentinel-2 Image" to simulate the data collection and storage process
+
+## Security Note
+
+Your API key is not stored and is only used for the current session. It's securely handled and not displayed after entry.
+
+## Note
+
+This app is a simulation and does not actually connect to Earth Engine or store data in PostgreSQL. It's designed to demonstrate the user interface and workflow of such a system.
+
+## Future Improvements
+
+- Implement actual connection to Earth Engine
+- Set up real-time data storage in PostgreSQL
+- Integrate MindsDB for anomaly detection and data analysis
+
+Feel free to contribute to this project or use it as a starting point for your own data analysis workflows!

app.py

@@ -1,28 +1,17 @@
 import streamlit as st
 from datetime import date
 import os
-from crewai.agent import Agent
-from pydantic import Field, ValidationError
+from pydantic import BaseModel, Field, ValidationError
 
-# Set OpenAI API Key directly in the code
-os.environ['OPENAI_API_KEY'] = 'Add your OpenAI API key'
-# Sentinel2ExportAgent class
-class Sentinel2ExportAgent(Agent):
+class Sentinel2ExportAgent(BaseModel):
+    name: str
+    role: str
+    goal: str
+    backstory: str
     project_id: str = Field(..., description="Project ID for Earth Engine")
 
-    def __init__(self, name, role, goal, backstory, project_id):
-        try:
-            super().__init__(name=name, role=role, goal=goal, backstory=backstory, project_id=project_id)
-        except ValidationError as e:
-            st.error(f"Validation Error: {e}")
-            return
-
-        self.project_id = project_id
-        st.write("Earth Engine Authentication skipped. Data will be stored in PostgreSQL.")
-
     def export_sentinel2_image_to_drive(self, latitude, longitude, start_date, end_date, image_name):
         try:
-            # Instead of fetching from Earth Engine, we'll display the message
             st.write(f"Image '{image_name}' with data for the region around Latitude: {latitude}, Longitude: {longitude} "
                      f"for the period from {start_date} to {end_date} has been stored in PostgreSQL.")
             st.write("The data is now available in PostgreSQL for further analysis.")
@@ -36,6 +25,7 @@ class Sentinel2ExportAgent(Agent):
 st.title("Data Fetcher AI Agent")
 
 # Sidebar inputs
+api_key = st.sidebar.text_input("Enter your OpenAI API Key", type="password")
 project_id = st.sidebar.text_input("Enter your Earth Engine Project ID", "genai-agent-hack-2024")
 latitude = st.sidebar.number_input("Latitude", min_value=-90.0, max_value=90.0, value=37.7749, step=0.01)
 longitude = st.sidebar.number_input("Longitude", min_value=-180.0, max_value=180.0, value=-122.4194, step=0.01)
@@ -43,21 +33,36 @@ start_date = st.sidebar.date_input("Start Date", value=date(2021, 6, 1))
 end_date = st.sidebar.date_input("End Date", value=date(2021, 6, 30))
 image_name = st.sidebar.text_input("Image Name", "sentinel2_image")
 
+# Function to set the API key
+def set_api_key(key):
+    os.environ['OPENAI_API_KEY'] = key
+
 # Run the data fetch when button is clicked
 if st.sidebar.button("Fetch Sentinel-2 Image"):
-    # Create the Sentinel2ExportAgent
-    sentinel2_agent = Sentinel2ExportAgent(
-        name="Sentinel2ExportAgent",
-        role="Data Analyst",
-        goal="Export Sentinel-2 imagery from Earth Engine to Google Drive",
-        backstory="The agent assists in data analysis by exporting high-resolution satellite imagery.",
-        project_id=project_id
-    )
-
-    # Fetch and export the image (simulated)
-    result = sentinel2_agent.export_sentinel2_image_to_drive(
-        latitude, longitude, str(start_date), str(end_date), image_name
-    )
-
-    # Display the result
-    st.write(result)
+    if not api_key:
+        st.error("Please enter your OpenAI API Key.")
+    else:
+        set_api_key(api_key)
+        try:
+            # Create the Sentinel2ExportAgent
+            sentinel2_agent = Sentinel2ExportAgent(
+                name="Sentinel2ExportAgent",
+                role="Data Analyst",
+                goal="Export Sentinel-2 imagery from Earth Engine to Google Drive",
+                backstory="The agent assists in data analysis by exporting high-resolution satellite imagery.",
+                project_id=project_id
+            )
+
+            # Fetch and export the image (simulated)
+            result = sentinel2_agent.export_sentinel2_image_to_drive(
+                latitude, longitude, str(start_date), str(end_date), image_name
+            )
+
+            # Display the result
+            st.write(result)
+        except ValidationError as e:
+            st.error(f"Validation Error: {e}")
+
+# Add a note about API key security
+st.sidebar.markdown("---")
+st.sidebar.info("Note: Your API key is not stored and is only used for the current session.")